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      Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project

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          Abstract

          Between July 18 th and 24 th 2010, 26 leading microbial ecology, computation, bioinformatics and statistics researchers came together in Snowbird, Utah (USA) to discuss the challenge of how to best characterize the microbial world using next-generation sequencing technologies. The meeting was entitled “Terabase Metagenomics” and was sponsored by the Institute for Computing in Science (ICiS) summer 2010 workshop program. The aim of the workshop was to explore the fundamental questions relating to microbial ecology that could be addressed using advances in sequencing potential. Technological advances in next-generation sequencing platforms such as the Illumina HiSeq 2000 can generate in excess of 250 billion base pairs of genetic information in 8 days. Thus, the generation of a trillion base pairs of genetic information is becoming a routine matter. The main outcome from this meeting was the birth of a concept and practical approach to exploring microbial life on earth, the Earth Microbiome Project (EMP). Here we briefly describe the highlights of this meeting and provide an overview of the EMP concept and how it can be applied to exploration of the microbiome of each ecosystem on this planet.

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          The minimum information about a genome sequence (MIGS) specification.

          With the quantity of genomic data increasing at an exponential rate, it is imperative that these data be captured electronically, in a standard format. Standardization activities must proceed within the auspices of open-access and international working bodies. To tackle the issues surrounding the development of better descriptions of genomic investigations, we have formed the Genomic Standards Consortium (GSC). Here, we introduce the minimum information about a genome sequence (MIGS) specification with the intent of promoting participation in its development and discussing the resources that will be required to develop improved mechanisms of metadata capture and exchange. As part of its wider goals, the GSC also supports improving the 'transparency' of the information contained in existing genomic databases.
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            Author and article information

            Journal
            Stand Genomic Sci
            SIGS
            Standards in Genomic Sciences
            Michigan State University
            1944-3277
            25 December 2010
            31 December 2010
            : 3
            : 3
            : 243-248
            Affiliations
            [1 ]Argonne National Laboratory, Argonne, IL USA
            [2 ]Department of Ecology and Evolution, University of Chicago, Chicago, USA
            [3 ]College of Engineering, Michigan State University, East Lansing, MI, USA
            [4 ]Department of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA
            [5 ]Department of Evolution and Ecology, University of California, Davis, USA
            [6 ]DOE Joint Genome Institute, Walnut Creek, CA USA
            [7 ]Illumina, Saffron Walden, U.K.
            [8 ]NERC Centre for Ecology and Hydrology, Oxfordshire,U.K.
            [9 ]Department of Computer Science and Department of Electrical & Computer Engineering, Virginia Tech, Blacksburg, VA USA
            [10 ]Department of Cancer Biology and Translational Science Institute, Wake Forest University Winston-Salem, USA
            [11 ]Center for Bioinformatics ZBIT, Tübingen University,Tübingen, Germany,
            [12 ]Lawrence Berkeley National Laboratory, Earth Sciences Division Berkeley, CA USA
            [13 ]Department of Chemistry and Biochemistry, Boulder, CO, USA
            [14 ]Roche-454, Branford, CT USA
            [15 ]Seattle Children’s Hospital, Seattle, WA USA
            [16 ]School of Civil and Environmental Engineering and School of Biology, Georgia Institute of Technology, Atlanta, GA, USA
            [17 ]The Florida State University, Tallahassee, FL USA
            [18 ]Department of Algorithmic Bioinformatics, Heinrich-Heine University, Düsseldorf, Germany.
            [19 ]Max-Planck-Institut fur Informatik, Max-Planck Research Group for Computational Genomics and Epidemiology, Saarbrücken, Germany
            [20 ]Department of Civil Engineering, University of Glasgow, Glasgow U.K.
            [21 ]Department of Molecular and Cellular Interactions, VIB - University of Brussels, Brussels, Belgium.
            [22 ]Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT USA
            Article
            sigs.1433550
            10.4056/sigs.1433550
            3035311
            21304727
            25863154-f953-4fc9-befa-a73490f382df
            Copyright @ 2010

            This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

            History
            Funding
            Funded by: Institute for Computing In Science (ICiS
            Funded by: US Department of Energy
            Funded by: U.S. Dept. of Energy
            Award ID: DE-AC02-06CH11357
            Funded by: U.S. Department of Energy Office of Science
            Award ID: DE-AC02-06CH11357
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            Genetics
            Genetics

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